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BART

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BART / README.md
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metadata
tags:
  - generated_from_trainer
datasets:
  - squad
base_model: valhalla/bart-large-finetuned-squadv1
model-index:
  - name: BART
    results: []

BART

This model is a fine-tuned version of valhalla/bart-large-finetuned-squadv1 on the squad dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1706

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 1e-05
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 40 0.2413
No log 2.0 80 0.1528
No log 3.0 120 0.1706

Framework versions

  • Transformers 4.27.4
  • Pytorch 1.13.1+cu117
  • Datasets 2.11.0
  • Tokenizers 0.13.3